Role : Scala Developer

Location : Pune

Experiences: 6-8 Yrs

Responsibilities

·                Strong People management, leadership, organizational skills. Outstanding communication (written and verbal) skills.

·                Experience leveraging open-source tools, predictive analytics, machine learning, Advanced Statistics, and other data techniques to perform basic analyses.

·                Demonstrated basic knowledge of statistical analytical techniques, coding, and data engineering.

·                Experience developing and configuring dashboards is a plus.

·                Demonstrated judgement when escalating issues to the project team.

·                High proficiency in Python/Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), SQL.

·                Curiosity, creativity, and excitement for technology and innovation.

·                Demonstrated quantitative and problem-solving abilities.

·                Expert proficiency in using Python/Scala, Spark (tuning jobs), SQL, Hadoop platforms to build Big Data products & platforms.

·                Comfortable in developing shell scripts for automation.

·                Proficient in standard software development, such as version control, testing, and deployment.

·                Experience with visualization tools like tableau, looker.

·                At least 5 years leading collaborative work in complex engineering projects in an Agile setting e.g. Scrum.

·                Extensive data warehousing/data lake development experience with strong data modelling and data integration experience.

·                Good SQL and higher-level programming languages with solid knowledge of data mining, machine learning algorithms and tools.

·                Strong hands-on experience in Analytics & Computer Science.

·                Demonstrated basic knowledge of statistical analytical techniques, coding, and data engineering.

·                Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modelling, tuning, evaluating, monitoring, and presenting.

·                At least 10 years of relevant hands-on experience as a Data Engineer in an individual contributor capacity.

·                Able to lead the implementation of machine learning production systems.

·                Demonstrated ability, through hands-on experience, to develop production machine learning pipelines.

Note : Interested candidates please share Resume [email protected]